T Noda

3.0k citations
23 papers · 2.4k indexed · 1 hit paper · h-index 14
Topics
Microtubule and mitosis dynamics (4 papers)Colorectal Cancer Treatments and Studies (3 papers)RNA and protein synthesis mechanisms (3 papers)
Partner nations
JapanUnited States

In The Last Decade

T Noda

23 papers receiving 2.4k citations

Hit Papers

Altered microtubule organization in small-calibre axons o...19942026200420151994200400600

Peers

T Noda
Comparison fields: 5 of 97
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 703
  • Physiology 567
  • Cell Biology 379
  • Sensory Systems 233
Replace Junko Kuno with:
Junko Kuno Japan
Daniele Zacchetti Italy
Neal G. Copeland United States
Ann Yee United States
Steven Nusinowitz United States
Juan José Toledo‐Aral Spain
Vikram G. Shakkottai United States
Naoyuki Tanimoto Germany
James J. A. Contos United States
Monika A. Davare United States
T Noda relative to Junko Kuno Japan Junko Kuno's profile →
Citations per field
00.5×1.7×
Junko Kuno · 1×
Citations per year

Countries citing papers authored by T Noda

Since Specialization
Citations

This map shows the geographic impact of T Noda's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Noda more than expected).

Fields of papers citing papers by T Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T Noda. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T Noda. The network helps show where T Noda may publish in the future.

Co-authorship network of co-authors of T Noda

This figure shows the co-authorship network connecting the top 25 collaborators of T Noda. A scholar is included among the top collaborators of T Noda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T Noda. T Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 8
4 33
5 33
6 18
7 13
8 50
9 4
10 11
11
Involvement of Flt-1 tyrosine kinase (vascular endothelial growth factor receptor-1) in pathological angiogenesis.
249
12 169
13
Renal carcinogenesis, hepatic hemangiomatosis, and embryonic lethality caused by a germ-line Tsc2 mutation in mice.
210
14 8
15 412
16 211
17
[Mouse model for familial adenomatous polyposis coli and APC gene].
4
18
Altered microtubule organization in small-calibre axons of mice lacking tau proteinbreakdown →
600
19 101
20 49

About T Noda

T Noda is a scholar working on Sensory Systems, Cell Biology and Reproductive Medicine, having authored 23 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Sensory Systems (233 citations), Cellular and Molecular Neuroscience (703 citations) and Neurology (217 citations). T Noda has collaborated with scholars based in Japan and United States. Frequent co-authors include Junko Kuno, Osamu Minowa, Toshiyuki Ohshima, Yosuke Takei, Atsushi Harada, K Oguchi, Reiko Sato-Yoshitake, Nobutaka Hirokawa, Shigeo Okabe and Sumio Terada. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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